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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 10 new columns ({'robbery_crime_rate', 'motor_vehicle_theft_crime_rate', 'murder_and_nonnegligent_manslaughter_crime_rate', 'larceny-_theft_crime_rate', 'violent_crime_rate', 'burglary_rate', 'arson1_crime_rate', 'rape_crime_rate', 'aggravated_assault_crime_rate', 'property_crime_rate'})
This happened while the csv dataset builder was generating data using
hf://datasets/jz9981/us_city_crime_data_2024/crime_rate.csv (at revision 379c0a51863988669710e53de53cd518f86fddbf)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
state: string
city: string
population: double
violent_crime: double
murder_and_nonnegligent_manslaughter: double
rape: double
robbery: double
aggravated_assault: double
property_crime: double
burglary: double
larceny-_theft: double
motor_vehicle_theft: double
arson1: double
lat: double
lon: double
violent_crime_rate: double
murder_and_nonnegligent_manslaughter_crime_rate: double
rape_crime_rate: double
robbery_crime_rate: double
aggravated_assault_crime_rate: double
larceny-_theft_crime_rate: double
burglary_rate: double
motor_vehicle_theft_crime_rate: double
arson1_crime_rate: double
property_crime_rate: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3575
to
{'state': Value('string'), 'city': Value('string'), 'population': Value('float64'), 'violent_crime': Value('float64'), 'murder_and_nonnegligent_manslaughter': Value('float64'), 'rape': Value('float64'), 'robbery': Value('float64'), 'aggravated_assault': Value('float64'), 'property_crime': Value('float64'), 'burglary': Value('float64'), 'larceny-_theft': Value('float64'), 'motor_vehicle_theft': Value('float64'), 'arson1': Value('float64'), 'lat': Value('float64'), 'lon': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 10 new columns ({'robbery_crime_rate', 'motor_vehicle_theft_crime_rate', 'murder_and_nonnegligent_manslaughter_crime_rate', 'larceny-_theft_crime_rate', 'violent_crime_rate', 'burglary_rate', 'arson1_crime_rate', 'rape_crime_rate', 'aggravated_assault_crime_rate', 'property_crime_rate'})
This happened while the csv dataset builder was generating data using
hf://datasets/jz9981/us_city_crime_data_2024/crime_rate.csv (at revision 379c0a51863988669710e53de53cd518f86fddbf)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
state string | city string | population float64 | violent_crime float64 | murder_and_nonnegligent_manslaughter float64 | rape float64 | robbery float64 | aggravated_assault float64 | property_crime float64 | burglary float64 | larceny-_theft float64 | motor_vehicle_theft float64 | arson1 float64 | lat float64 | lon float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ALABAMA | Abbeville | 2,386 | 11 | 0 | 2 | 1 | 8 | 35 | 9 | 25 | 1 | 0 | -3 | 77 |
ALABAMA | Adamsville | 4,111 | 23 | 1 | 1 | 0 | 21 | 130 | 12 | 97 | 21 | 2 | 55 | 64 |
ALABAMA | Addison | 669 | 3 | 0 | 0 | 0 | 3 | 13 | 4 | 7 | 2 | 0 | 65 | -25 |
ALABAMA | Alabaster | 34,349 | 34 | 0 | 1 | 4 | 29 | 519 | 17 | 480 | 22 | 0 | -57 | -28 |
ALABAMA | Albertville | 23,242 | 55 | 1 | 14 | 3 | 37 | 409 | 65 | 299 | 45 | 2 | 72 | 21 |
ALABAMA | Alexander City | 14,353 | 147 | 4 | 7 | 11 | 125 | 515 | 91 | 398 | 26 | 5 | -5 | -34 |
ALABAMA | Aliceville | 2,019 | 4 | 0 | 0 | 0 | 4 | 11 | 1 | 10 | 0 | 0 | -65 | 24 |
ALABAMA | Andalusia | 8,838 | 59 | 0 | 7 | 3 | 49 | 324 | 53 | 244 | 27 | 3 | -26 | -166 |
ALABAMA | Anniston | 21,052 | 178 | 4 | 16 | 18 | 140 | 919 | 214 | 612 | 93 | 5 | 61 | -169 |
ALABAMA | Arab | 8,960 | 23 | 0 | 6 | 1 | 16 | 318 | 74 | 212 | 32 | 1 | -54 | 87 |
ALABAMA | Ardmore | 1,451 | 2 | 0 | 1 | 0 | 1 | 20 | 4 | 15 | 1 | 0 | -89 | -109 |
ALABAMA | Argo | 4,388 | 5 | 0 | 0 | 0 | 5 | 15 | 4 | 7 | 4 | 0 | -88 | -34 |
ALABAMA | Arley | 330 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 0 | 0 | 42 | 76 |
ALABAMA | Ashford | 2,357 | 2 | 0 | 0 | 0 | 2 | 11 | 0 | 11 | 0 | 0 | -12 | -143 |
ALABAMA | Ashland | 1,928 | 15 | 0 | 0 | 0 | 15 | 46 | 7 | 36 | 3 | 0 | -21 | -111 |
ALABAMA | Ashville | 2,417 | 12 | 0 | 0 | 2 | 10 | 69 | 17 | 43 | 9 | 0 | -46 | 55 |
ALABAMA | Athens | 32,862 | 80 | 2 | 3 | 6 | 69 | 680 | 91 | 531 | 58 | 1 | -83 | 168 |
ALABAMA | Atmore | 8,294 | 113 | 4 | 9 | 11 | 89 | 298 | 38 | 240 | 20 | 2 | 2 | 105 |
ALABAMA | Attalla | 5,813 | 20 | 0 | 1 | 1 | 18 | 210 | 24 | 170 | 16 | 0 | 69 | -85 |
ALABAMA | Auburn | 83,756 | 90 | 0 | 16 | 8 | 66 | 820 | 33 | 730 | 57 | 1 | -23 | 84 |
ALABAMA | Bay Minette | 8,456 | 35 | 2 | 2 | 3 | 28 | 138 | 13 | 115 | 10 | 0 | 10 | -11 |
ALABAMA | Bayou La Batre | 2,142 | 19 | 0 | 1 | 0 | 18 | 137 | 32 | 92 | 13 | 1 | 26 | 86 |
ALABAMA | Bear Creek | 1,062 | 11 | 0 | 1 | 0 | 10 | 24 | 4 | 8 | 12 | 0 | 17 | -3 |
ALABAMA | Berry | 1,183 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | -61 | -109 |
ALABAMA | Bessemer | 24,720 | 431 | 11 | 15 | 40 | 365 | 1,761 | 284 | 1,252 | 225 | 8 | 49 | 170 |
ALABAMA | Birmingham | 195,418 | 2,436 | 115 | 29 | 393 | 1,899 | 7,878 | 1,426 | 4,873 | 1,579 | 103 | -3 | 175 |
ALABAMA | Blountsville | 1,816 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | -66 |
ALABAMA | Brent | 2,586 | 9 | 0 | 2 | 0 | 7 | 80 | 13 | 62 | 5 | 0 | -70 | -64 |
ALABAMA | Brewton | 5,139 | 28 | 0 | 3 | 1 | 24 | 207 | 13 | 176 | 18 | 1 | 66 | 126 |
ALABAMA | Bridgeport | 2,262 | 7 | 0 | 2 | 1 | 4 | 24 | 5 | 13 | 6 | 1 | 35 | 116 |
ALABAMA | Brighton | 2,207 | 47 | 5 | 1 | 4 | 37 | 52 | 13 | 27 | 12 | 1 | 8 | 4 |
ALABAMA | Brilliant | 829 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 0 | 0 | -2 | -63 |
ALABAMA | Brookside | 1,185 | 5 | 0 | 0 | 1 | 4 | 26 | 6 | 13 | 7 | 0 | 1 | 0 |
ALABAMA | Brookwood | 2,420 | 11 | 0 | 0 | 1 | 10 | 24 | 3 | 16 | 5 | 0 | -77 | 171 |
ALABAMA | Brundidge | 2,016 | 23 | 0 | 1 | 0 | 22 | 87 | 15 | 63 | 9 | 0 | 81 | -51 |
ALABAMA | Butler | 1,737 | 5 | 0 | 0 | 0 | 5 | 34 | 6 | 24 | 4 | 0 | 39 | 12 |
ALABAMA | Calera | 18,747 | 44 | 0 | 4 | 1 | 39 | 249 | 42 | 184 | 23 | 0 | 55 | -180 |
ALABAMA | Camden | 1,667 | 3 | 0 | 0 | 1 | 2 | 13 | 3 | 8 | 2 | 0 | -17 | -102 |
ALABAMA | Carbon Hill | 1,723 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 2 | 1 | 1 | 68 | 175 |
ALABAMA | Carrollton | 965 | 4 | 0 | 0 | 0 | 4 | 4 | 1 | 3 | 0 | 0 | -44 | -59 |
ALABAMA | Cedar Bluff | 1,918 | 8 | 0 | 1 | 0 | 7 | 17 | 1 | 14 | 2 | 0 | -7 | -102 |
ALABAMA | Centre | 3,845 | 15 | 0 | 5 | 0 | 10 | 129 | 19 | 101 | 9 | 0 | 65 | -132 |
ALABAMA | Centreville | 2,673 | 10 | 0 | 1 | 0 | 9 | 32 | 6 | 22 | 4 | 1 | 29 | 24 |
ALABAMA | Chatom | 1,060 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 0 | 0 | -2 | -61 |
ALABAMA | Cherokee | 964 | 0 | 0 | 0 | 0 | 0 | 18 | 3 | 13 | 2 | 1 | -36 | -17 |
ALABAMA | Chickasaw | 6,226 | 27 | 1 | 0 | 2 | 24 | 134 | 21 | 97 | 16 | 1 | 53 | 101 |
ALABAMA | Childersburg | 4,601 | 35 | 0 | 4 | 1 | 30 | 120 | 23 | 86 | 11 | 0 | 26 | -59 |
ALABAMA | Citronelle | 3,902 | 3 | 0 | 0 | 1 | 2 | 31 | 5 | 24 | 2 | 0 | 49 | 122 |
ALABAMA | Clanton | 9,250 | 29 | 0 | 2 | 3 | 24 | 306 | 16 | 278 | 12 | 0 | 72 | 77 |
ALABAMA | Clayton | 2,197 | 9 | 0 | 0 | 0 | 9 | 20 | 5 | 15 | 0 | 1 | 6 | 161 |
ALABAMA | Clio | 1,194 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 113 |
ALABAMA | Coaling | 1,970 | 3 | 0 | 1 | 0 | 2 | 17 | 4 | 12 | 1 | 0 | -85 | 50 |
ALABAMA | Coffeeville | 247 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | -134 |
ALABAMA | Collinsville | 2,067 | 3 | 0 | 0 | 0 | 3 | 22 | 0 | 19 | 3 | 0 | 44 | 136 |
ALABAMA | Columbia | 703 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | -28 | -174 |
ALABAMA | Columbiana | 4,913 | 7 | 1 | 2 | 0 | 4 | 51 | 7 | 42 | 2 | 0 | -57 | 167 |
ALABAMA | Coosada | 1,282 | 4 | 0 | 0 | 0 | 4 | 8 | 2 | 4 | 2 | 0 | -17 | -162 |
ALABAMA | Cordova | 1,656 | 8 | 0 | 0 | 1 | 7 | 51 | 4 | 38 | 9 | 0 | -73 | -9 |
ALABAMA | Cottonwood | 1,097 | 3 | 0 | 0 | 0 | 3 | 13 | 3 | 10 | 0 | 0 | 0 | 82 |
ALABAMA | Creola | 1,977 | 5 | 0 | 1 | 2 | 2 | 11 | 1 | 6 | 4 | 0 | -54 | -139 |
ALABAMA | Cullman | 20,433 | 44 | 3 | 6 | 2 | 33 | 504 | 36 | 436 | 32 | 0 | 21 | 177 |
ALABAMA | Dadeville | 2,922 | 17 | 0 | 0 | 1 | 16 | 50 | 5 | 42 | 3 | 0 | 47 | -81 |
ALABAMA | Daphne | 31,256 | 17 | 0 | 4 | 2 | 11 | 264 | 14 | 235 | 15 | 0 | 6 | 109 |
ALABAMA | Dauphin Island | 1,932 | 2 | 0 | 1 | 1 | 0 | 27 | 5 | 20 | 2 | 0 | 5 | 42 |
ALABAMA | Decatur | 58,514 | 355 | 5 | 32 | 26 | 292 | 1,351 | 113 | 1,073 | 165 | 112 | -1 | 71 |
ALABAMA | Demopolis | 6,733 | 65 | 1 | 5 | 5 | 54 | 183 | 29 | 145 | 9 | 3 | 27 | -8 |
ALABAMA | Dora | 2,244 | 5 | 0 | 0 | 0 | 5 | 53 | 9 | 34 | 10 | 1 | -13 | -34 |
ALABAMA | Dothan | 71,318 | 651 | 5 | 49 | 38 | 559 | 1,972 | 260 | 1,618 | 94 | 17 | -2 | -54 |
ALABAMA | Double Springs | 1,115 | 1 | 0 | 0 | 0 | 1 | 19 | 4 | 12 | 3 | 0 | -66 | -27 |
ALABAMA | Douglas | 789 | 2 | 0 | 0 | 0 | 2 | 12 | 3 | 9 | 0 | 1 | 6 | -126 |
ALABAMA | East Brewton | 2,239 | 4 | 0 | 1 | 0 | 3 | 57 | 7 | 44 | 6 | 0 | -23 | 157 |
ALABAMA | Eclectic | 1,214 | 2 | 0 | 0 | 0 | 2 | 20 | 5 | 14 | 1 | 0 | 62 | 122 |
ALABAMA | Elba | 3,547 | 16 | 2 | 1 | 3 | 10 | 108 | 20 | 78 | 10 | 1 | -68 | 59 |
ALABAMA | Elberta | 2,145 | 11 | 0 | 0 | 1 | 10 | 64 | 10 | 52 | 2 | 0 | 67 | -114 |
ALABAMA | Enterprise | 30,766 | 192 | 1 | 16 | 5 | 170 | 732 | 109 | 577 | 46 | 3 | -45 | -65 |
ALABAMA | Eufaula | 12,314 | 89 | 7 | 5 | 10 | 67 | 317 | 59 | 225 | 33 | 4 | 14 | 47 |
ALABAMA | Eutaw | 2,710 | 16 | 0 | 0 | 2 | 14 | 75 | 20 | 47 | 8 | 0 | -70 | 70 |
ALABAMA | Excel | 524 | 8 | 0 | 3 | 0 | 5 | 24 | 5 | 16 | 3 | 1 | -1 | 164 |
ALABAMA | Fairhope | 25,782 | 28 | 0 | 6 | 4 | 18 | 297 | 21 | 267 | 9 | 1 | -44 | -13 |
ALABAMA | Falkville | 1,198 | 2 | 0 | 0 | 0 | 2 | 11 | 0 | 8 | 3 | 0 | -23 | 28 |
ALABAMA | Fayette | 4,079 | 6 | 0 | 1 | 2 | 3 | 53 | 15 | 36 | 2 | 0 | 47 | -70 |
ALABAMA | Flomaton | 1,448 | 16 | 1 | 0 | 1 | 14 | 34 | 4 | 27 | 3 | 0 | -4 | 12 |
ALABAMA | Florence | 43,076 | 271 | 0 | 16 | 9 | 246 | 869 | 100 | 698 | 71 | 2 | 34 | -112 |
ALABAMA | Foley | 26,424 | 51 | 1 | 0 | 7 | 43 | 404 | 31 | 340 | 33 | 0 | 86 | 108 |
ALABAMA | Fort Payne | 14,984 | 24 | 0 | 3 | 0 | 21 | 242 | 43 | 179 | 20 | 0 | 24 | 77 |
ALABAMA | Frisco City | 1,110 | 5 | 1 | 0 | 0 | 4 | 4 | 2 | 2 | 0 | 0 | -26 | 9 |
ALABAMA | Fultondale | 9,533 | 28 | 0 | 5 | 6 | 17 | 259 | 63 | 171 | 25 | 1 | -71 | 16 |
ALABAMA | Fyffe | 983 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 3 | 2 | 0 | -13 | -172 |
ALABAMA | Gadsden | 33,015 | 192 | 4 | 4 | 16 | 168 | 851 | 97 | 682 | 72 | 4 | 85 | 31 |
ALABAMA | Gantt | 204 | 2 | 1 | 0 | 0 | 1 | 6 | 1 | 5 | 0 | 0 | -5 | 127 |
ALABAMA | Gardendale | 16,131 | 31 | 0 | 0 | 1 | 30 | 257 | 19 | 211 | 27 | 2 | 70 | -58 |
ALABAMA | Georgiana | 1,257 | 3 | 0 | 0 | 0 | 3 | 22 | 4 | 17 | 1 | 0 | 22 | 58 |
ALABAMA | Geraldine | 914 | 2 | 0 | 0 | 0 | 2 | 14 | 4 | 10 | 0 | 0 | -86 | 62 |
ALABAMA | Gilbertown | 707 | 2 | 0 | 0 | 0 | 2 | 6 | 2 | 3 | 1 | 0 | -28 | -58 |
ALABAMA | Goodwater | 1,245 | 2 | 0 | 0 | 0 | 2 | 14 | 2 | 8 | 4 | 0 | -85 | 146 |
ALABAMA | Gordon | 298 | 1 | 0 | 0 | 0 | 1 | 5 | 1 | 4 | 0 | 0 | 85 | -65 |
ALABAMA | Grant | 1,063 | 2 | 0 | 0 | 0 | 2 | 33 | 7 | 20 | 6 | 0 | -9 | 23 |
ALABAMA | Greenville | 6,923 | 40 | 0 | 1 | 5 | 34 | 266 | 39 | 199 | 28 | 0 | -11 | 122 |
ALABAMA | Grove Hill | 1,719 | 3 | 0 | 0 | 1 | 2 | 20 | 6 | 12 | 2 | 0 | 20 | -47 |
ALABAMA | Guin | 2,134 | 9 | 1 | 0 | 1 | 7 | 40 | 8 | 27 | 5 | 0 | 59 | -41 |
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